Abstract [en]

In software engineering it is important to consider how a potential user experiences the system during usage. No software user will have a satisfying experience if they perceive the system as slow, unresponsive, unstable or hiding information. Additionally, if the system restricts the users to only having a limited set of actions, their experience will further degrade. In order to evaluate the effect these issues have on a user‟s perceived experience, a measure called Quality of Experience is applied.

In this work the foremost objective was to improve how a user experienced a system suffering from the previously mentioned issues, when searching for large amounts of data. To achieve this objective the system was evaluated to identify the issues present and which issues were affecting the user perceived Quality of Experience the most. The evaluated system was a warehouse management system developed and maintained by Aptean AB‟s office in Hässleholm, Sweden. The system consisted of multiple clients and a server, sending data over a network. Evaluation of the system was in form of a case study analyzing its performance, together with a survey performed by Aptean staff to gain knowledge of how the system was experienced when searching for large amounts of data. From the results, three issues impacting Quality of Experience the most were identified: (1) interaction; limited set of actions during a search, (2) transparency; limited representation of search progress and received data, (3) execution time; search completion taking long time.

After the system was analyzed, hypothesized technological solutions were implemented to resolve the identified issues. The first solution divided the data into multiple partitions, the second decreased data size sent over the network by applying compression and the third was a combination of the two technologies. Following the implementations, a final set of measurements together with the same survey was performed to compare the solutions based on their performance and improvement gained in perceived Quality of Experience.

The most significant improvement in perceived Quality of Experience was achieved by the data partitioning solution. While the combination of solutions offered a slight further improvement, it was primarily thanks to data partitioning, making that technology a more suitable solution for the identified issues compared to compression which only slightly improved perceived Quality of Experience. When the data was partitioned, updates were sent more frequently and allowed the user not only a larger set of actions during a search but also improved the information available in the client regarding search progress and received data. While data partitioning did not improve the execution time it offered the user a first set of data quickly, not forcing the user to idly wait, making the user experience the system as fast. The results indicated that to increase the user‟s perceived Quality of Experience for systems with server-client communication, data partitioning offered several opportunities for improvement.